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            "Programming Language :: Python :: 3.5",
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        "description": "# SVL: Declarative Dashboards\n\n[![Build Status](https://travis-ci.org/timothyrenner/svl.svg?branch=master)](https://travis-ci.org/timothyrenner/svl) [![Coverage Status](https://coveralls.io/repos/github/timothyrenner/svl/badge.svg?branch=master)](https://coveralls.io/github/timothyrenner/svl?branch=master) [![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/python/black)\n\nSVL is a declarative, SQL-like language for simple reports and dashboards.\n\nInitially I made this project to learn and experiment with [EBNF](https://en.wikipedia.org/wiki/Extended_Backus%E2%80%93Naur_form) context-free grammars, but pretty quickly realized this was something I could actually use for my job.\nMaybe you will find it useful too.\n\nIf you're interested, hit the link for the docs below.\n\n[timothyrenner.github.io/svl](https://timothyrenner.github.io/svl/)\n\nand install with\n\n```\npip install svl\n```\n\nNot convinced?\nMaybe \u2728 ***this*** \u2728 will change your mind...\n\nSVL code:\n\n```\nDATASETS\n    bigfoot \"sample_data/bigfoot_sightings.csv\"\nLINE bigfoot\n    X date BY YEAR\n    Y number COUNT\n    SPLIT BY classification\nCONCAT(\n    HISTOGRAM bigfoot X temperature_mid\n    HISTOGRAM bigfoot X humidity\n)\n```\n\nResults:\n\n![](docs/images/readme_example.png)\n\n## Alpha Features\n\n\u2705 **Easy to learn**: The entire grammar is under 150 lines.\n\n\ud83d\udd90 **Five chart types**: Line, bar, scatter, histogram and pie. I plan on adding more, so if I'm missing your favorite one let me know.\n\n\ud83d\udcc8 **Complex layouts**: SVL scripts can support any number of plots and makes it straightforward to arrange them so that the most important plots get the most real estate.\n\n\ud83d\udcca **Interactive HTML output**: SVL uses [Plotly](https://plot.ly/javascript/) to draw the visualizations, and produces an easily shareable but still interactive HTML file.\n\n\ud83d\udcc2 **CSV and Parquet files**: Currently the data is limited to files, and SVL has support for CSV and (if [pyarrow](https://arrow.apache.org/docs/python/) is installed) parquet files.\n\n## Not Alpha Features, but Possible\n\n**Other plot backends** The compiler isn't married to Plotly.\nSVL can have future support for other backends like Vega, Bokeh, or even Matplotlib (probably).\n\n**Other data sources** For simplicity SVL operates on files, but like the plot renderer the compiler isn't coupled to flat files.\nIn fact, most of the data processing is done under the hood by [SQLite](https://sqlite.org/index.html), so adding support for other data processors like Postgres or MySQL is definitely possible.\n\n**Other plot types** I picked those five for the alpha release because they're the most common, but obviously more support can be added. Let me know what other chart types you'd like to see!\n\n## I'm sold!\n\n\ud83c\udf89 Sweet! \ud83c\udf89 Check out the docs [here](https://timothyrenner.github.io/svl/) to learn more.\n\n\n## Development\n\nI've been using [Anaconda](https://www.anaconda.com/distribution/) to manage environments.\nIf you've got that installed, just do\n\n```bash\nconda env create -f env.yml\n\n# then install the module\n\nconda activate svl && pip install -e .\n```\n\nTo run the tests,\n\n```bash\npytest test/ --cov=svl  # last option if you want coverage.\n```\n\nTo lint,\n\n```bash\nflake8 svl\n```\n\nin the top level directory and start hacking away!",
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